Derek Cole Aguiar
Associate Professor/Computing

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Scholarly Contributions

60 Scholarly Contributions

20
Journal Articles
16
Conference Proceedings
13
Poster/Presentations
6
Other Scholarly Works
3
Teaching Materialss
2
Book Chapters
Machine Learning, Genomics, Transcriptomics, Bash and R Tutorial
2022
Derek C Aguiar
Research Type: Poster/Presentation

Bayesian machine learning and the isoform reconstruction problem
2022
Derek C Aguiar
Research Type: Poster/Presentation

Case-level Prediction of Motion Outcomes in Civil Litigation
2021
Devin J McConnell, Derek C Aguiar, James Zhu, Sachin S Pandya
Research Type: Conference Proceedings

Differentially methylated regions and methylation QTLs for teen depression and early puberty in the Fragile Families Child Wellbeing Study
2021
others, Jordana Bell, Archit Verma, Vito, Roberta De, Lisa M Schneper, Isabella N Grabski, Daniel A Notterman, Colter Mitchell, Derek Aguiar, Sara McLanahan, Juan Castillo Fernandez
Research Type: Journal Article

Bayesian Networks and Nonparametric Haplotype Clustering
2021
Derek C Aguiar
Research Type: Poster/Presentation

Life after Grad School
2021
Derek C Aguiar
Research Type: Poster/Presentation

An Interdisciplinary Tour of Machine Learning in Biology, Law, and More.
2021
Derek C Aguiar
Research Type: Poster/Presentation

Preparing Students for a Data-Centric Computer Science Curriculum
2021
Derek C Aguiar
Research Type: Poster/Presentation

Bayesian nonparametric modelling and scalable inference in genomics and transcriptomics data.
2021
Derek C Aguiar
Research Type: Poster/Presentation

Combinatorial and statistical prediction of gene expression from haplotype sequence
2020
Derek Cole Aguiar, Pinar Demetci, Berk A Alpay, Sorin Istrail
Research Type: Conference Proceedings

Robust and interpretable statistical genetic modelling
2020
Bianca Dumitrascu, Barbara E. Engelhardt, Derek Aguiar, Devin J. McConnell
Research Type: Other Scholarly Work

Bayesian Nonparametric Modelling and Scalable Inference In Large-Scale Genomics Data
2020
Derek C Aguiar
Research Type: Poster/Presentation

Bayesian machine learning in large models with applications in genomics
2020
Derek C Aguiar
Research Type: Poster/Presentation

Bayesian nonparametric discovery of isoforms and individual specific quantification
2018
Derek Aguiar, Fantine Mordelet, Li-Fang Cheng, Bianca Dumitrascu, Athma Pai, Barbara Engelhardt
Research Type: Journal Article

HapCompass: fast cycle basis algorithms for accurate diploid and polyploid haplotype assembly
2016
Sorin Istrail, Derek Aguiar
Research Type: Teaching Materials

Tumor haplotype assembly algorithms for cancer genomics
2014
Derek Aguiar, Sorin Istrail, Wendy SW Wong
Research Type: Conference Proceedings

Tractatus: An Exact and Subquadratic Algorithm for Inferring Identical-by-Descent Multi-shared Haplotype Tracts.
2014
Eric M Morrow, Sorin Istrail, Derek Aguiar
Research Type: Conference Proceedings

Transcriptome of American oysters, Crassostrea virginica, in response to bacterial challenge: insights into potential mechanisms of disease resistance
2014
Chamilani Nikapitiya, Christopher E Lane, Sorin Istrail, Ian C McDowell, Marta Gomez-Chiarri, Derek Aguiar
Research Type: Journal Article

Genome-wide algorithms for haplotype assembly, haplotype phasing, and IBD inference
2014
Derek Aguiar
Research Type: Other Scholarly Work

Haplotype assembly in polyploid genomes and identical by descent shared tracts
2013
Sorin Istrail, Derek Aguiar
Research Type: Journal Article